Jefferson Encarnacion

P DSL Rangers Red

Age 22 RHP 6'1" / 190 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Rangers R…	19	30	6.67	3.27	21.2%	12.3%	—	K 14.4% · BB 15.4% · FIP 4.25
2026	21	ROKDSL Rangers R…	18	32	10.52	3.26	20.2%	11.9%	—	K 13.8% · BB 14.9% · FIP 4.28
2027PROJ	22	MLB—	17	18	5.25	5.25	18.8%	14.1%	-0.1
2028PROJ49% MLB	23	MLB—	14	15	4.99	4.89	20.3%	12.4%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 1% · didn't stick 99%

CompsTyler Smith (age 22) · Kasey Ford (age 23) · Junior Rincon (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.25

FIP5.25

K%18.8%

BB%14.1%

K-BB%4.7%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†4550

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2025	20	ROK MLE	DSL Rangers Red	19	0	30	146	31	18	1	0%	1.6	14.4%	15.4%	-1.0%	0.8%	6.67	4.25	—
2025	20	ROK MLE	DSL Rangers Red	19	0	30	146	31	18	1	0%	1.6	14.4%	15.4%	-1.0%	0.8%	6.67	4.25	—
2025	20	ROK RAW	DSL Rangers Red	19	0	30	146	31	18	1	0%	1.6	21.2%	12.3%	8.9%	0.7%	6.67	3.27	—
2026	21	ROK MLE	DSL Rangers Red	18	0	32	168	34	20	1	0%	1.8	13.8%	14.9%	-1.1%	0.8%	10.52	4.28	—
2026	21	ROK MLE	DSL Rangers Red	18	0	32	168	34	20	1	0%	1.8	13.8%	14.9%	-1.1%	0.8%	10.52	4.28	—
2026	21	ROK RAW	DSL Rangers Red	18	0	32	168	34	20	1	0%	1.8	20.2%	11.9%	8.3%	0.6%	10.52	3.26	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	—	17	0	18	76	14	11	2	0%	1.1	18.8%	14.1%	4.7%	2.9%	5.25	5.25	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	—	28	0	30	125	25	15	4	0%	1.1	20.3%	12.4%	7.9%	2.8%	4.99	4.89	-0.1
2028	23	MLB CTX	—	14	0	15	63	13	8	2	0%	1.1	20.3%	12.4%	7.9%	2.8%	4.99	4.89	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	61	12	8	2	0%	1.0	20.3%	12.4%	7.9%	2.8%	4.99	4.51	+0.0
/ 200 IP	—	RAW		190	0	200	844	165	110	27	0%	1.1	20.3%	12.4%	7.9%	2.8%	4.99	4.51	+0.1
Career	—	MLE		37	0	61	314	44	48	3	0%	1.7	14.1%	15.1%	-1.1%	0.8%	8.66	4.27	-0.1
/ 200 IP	—	MLE		121	0	200	1024	144	155	8	0%	1.7	14.1%	15.1%	-1.1%	0.8%	8.66	4.27	-0.8

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Jefferson Encarnacion (OGILVIE)	—	—	5.25	18.8%	14.1%	2.9%	—	4.89	20.3%	7.9%	30	-0.36	—	—	—
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	92
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	90
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	90
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	90
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	89
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	89
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	88
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	88
Jake Bird R 2018 · 4.59 FIP	22	SU	4.59	17.7%	13.0%	2.4%	.254	3.65	16.1%	4.9%	156	-0.94	3.06	525	88
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	88
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	88
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	87
Hobie Harris R 2015 · 4.28 FIP	22	SU	4.28	18.1%	13.3%	1.9%	.239	3.36	21.2%	12.0%	144	-0.92	3.31	476	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	87
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	87
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	87
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	87
Julio Mateo R 2002 · 4.54 FIP	24	SU	4.54	16.0%	12.8%	2.1%	.277	4.23	17.5%	13.8%	232	-0.31	3.42	318	86